10 signs you’re ready for AI — but might not succeed

Since machine learning is a panacea, your company should be able to use it profitably, right? Perhaps; perhaps not. OK, I’m just kidding about the panacea: that’s just marketing hype. Let’s discuss whether you have what it takes to harness artificial intelligence — and how you could get to that point if you’re not yet there.

To begin with, do you know what you want to predict or detect? Do you have enough data to analyze to build predictive models? Do you have the people and tools you need to define and train models? Do you already have statistical or physical models to give you a baseline for predictions?

Here, we’ll break down what you need for your AI and Ml projects to succeed, discussing their ramifications to help you ascertain whether your organization is truly ready to leverage machine learning, deep learning, and artificial intelligence.

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